Safety vulnerability ID: 51059
The information on this page was manually curated by our Cybersecurity Intelligence Team.
TensorFlow 2.7.4, 2.8.3 and 2.9.2 include a fix for CVE-2022-35965: Segfault in 'LowerBound' and 'UpperBound'.
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36
Latest version: 2.18.0
TensorFlow is an open source machine learning framework for everyone.
TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue. See CVE-2022-35965.
CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qxpx-j395-pw36
MISC:https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea: https://github.com/tensorflow/tensorflow/commit/bce3717eaef4f769019fd18e990464ca4a2efeea
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